On a visit to Austin, Texas, Caroline Hayes visited Silicon Labs and spoke to Ross Sabolcik, lead of the company’s industrial ...

Understanding early-stage creep in tunnel concrete through multiscale analysis improves long-term predictions and enhances ...

Many teams are impressed by the number of tools available today that claim to be able to improve their reliability. Sensors, ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

Discovering and characterizing new materials is important for unlocking advances in fields like clean energy, advanced ...

Engineers develop a system that captures all the elements of trial and error in material design, enabling reliable ...

The study offers a valuable resource and integrates multiple complementary datasets to provide insights into regulatory mechanisms, although the conceptual advances are moderate and the central ...

Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.

The music industry is in the grip of an intensifying debate over how AI-generated derivatives of existing music should be ...